LEADER 01115nam a2200265 i 4500 001 991000908679707536 008 101022s2009 gw a bf 001 0 ger d 020 $a9783531152318 (hbk. : alk. paper) 020 $a3531152319 (hbk. : alk. paper) 035 $ab13930540-39ule_inst 040 $aFacoltą SSPT$bita 082 0 $a301.00 245 00$aHandbuch Soziologische Theorien /$cGeorg Kneer, Markus Schroer (Hrsg.) 260 $aWiesbaden :$bVS Verlag fčur Sozialwissenschaften,$c2009 300 $a559 p. :$bill. ;$c25 cm 504 $aContiene riferimenti bibliografici 650 4$aSociologia$vManuali 700 1 $aKneer, Georg$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0731500 700 1 $aSchroer, Markus$eauthor$4http://id.loc.gov/vocabulary/relators/aut$0731501 907 $a.b13930540$b02-04-14$c22-10-10 912 $a991000908679707536 945 $aLE021 301.00 KNE01.01$g1$i2020000028475$lle021$op$pE41.10$q-$rn$s- $t0$u1$v0$w1$x0$y.i15187858$z22-10-10 996 $aHandbuch Soziologische Theorien$91441139 997 $aUNISALENTO 998 $ale020$b22-10-10$cm$da $e-$fger$ggw $h0$i0 LEADER 02754nam 2200637 450 001 9910784560003321 005 20230331005317.0 010 $a0-19-987880-3 010 $a0-19-756004-0 010 $a1-280-43987-4 010 $a0-19-972926-3 010 $a1-60129-647-9 035 $a(CKB)1000000000363443 035 $a(MH)001629590-0 035 $a(StDuBDS)EDZ0002342233 035 $a(Au-PeEL)EBL272885 035 $a(CaPaEBR)ebr11306306 035 $a(CaONFJC)MIL43987 035 $a(OCoLC)814394738 035 $a(MiAaPQ)EBC272885 035 $a(EXLCZ)991000000000363443 100 $a20161201h19891989 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe diverted dream $ecommunity colleges and the promise of educational opportunity in America, 1900-1985 /$fSteven Brint, Jerome Karabel 210 1$aNew York, New York ;$aOxford, [England] :$cOxford University Press,$d1989. 210 4$d©1989 215 $a1 online resource (ix, 312 pages) $cillustrations 225 1 $aOxford scholarship online 300 $aPreviously issued in print: 1989. 311 $a0-19-504816-4 320 $aIncludes bibliographical references and index. 330 8 $aIn the past two decades, US community colleges have undergone a profound change, shifting emphasis from liberal-arts transfer courses to terminal vocational programs. Drawing on developments nationwide as well as in the specific case of Massachusetts, Steven Brint and Jerome Karabel offer a history of community colleges in America, explaining why this shift has occurred after years of student resistance. 410 0$aOxford scholarship online. 606 $aEducation, Higher$zUnited States$xHistory$y20th century 606 $aCommunity colleges$zUnited States$xHistory$y20th century 606 $aEducation, Humanistic$zUnited States$xHistory$y20th century 606 $aVocational education$zUnited States$xHistory$y20th century 615 0$aEducation, Higher$xHistory 615 0$aCommunity colleges$xHistory 615 0$aEducation, Humanistic$xHistory 615 0$aVocational education$xHistory 676 $a378.73 700 $aBrint$b Steven G.$0127557 702 $aKarabel$b Jerome 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910784560003321 996 $aThe diverted dream$93708316 997 $aUNINA 999 $aThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress LEADER 04748nam 22006495 450 001 9910789215503321 005 20200706094558.0 010 $a3-642-75894-0 024 7 $a10.1007/978-3-642-75894-2 035 $a(CKB)3400000000107627 035 $a(SSID)ssj0001295695 035 $a(PQKBManifestationID)11766080 035 $a(PQKBTitleCode)TC0001295695 035 $a(PQKBWorkID)11343897 035 $a(PQKB)11483405 035 $a(DE-He213)978-3-642-75894-2 035 $a(MiAaPQ)EBC3092433 035 $a(PPN)238008304 035 $a(EXLCZ)993400000000107627 100 $a20121227d1990 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdaptive Algorithms and Stochastic Approximations$b[electronic resource] /$fby Albert Benveniste, Michel Metivier, Pierre Priouret 205 $a1st ed. 1990. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1990. 215 $a1 online resource (XII, 364 p.) 225 1 $aStochastic Modelling and Applied Probability,$x0172-4568 ;$v22 300 $a"With 24 figures." 311 $a3-540-52894-6 311 $a3-642-75896-7 320 $aIncludes bibliographical references and index. 327 $aI. Adaptive Algorithms: Applications -- 1. General Adaptive Algorithm Form -- 2. Convergence: the ODE Method -- 3. Rate of Convergence -- 4. Tracking Non-Stationary Parameters -- 5. Sequential Detection; Model Validation -- 6. Appendices to Part I -- II. Stochastic Approximations: Theory -- 1. O.D.E. and Convergence A.S. for an Algorithm with Locally Bounded Moments -- 2. Application to the Examples of Part I -- 3. Analysis of the Algorithm in the General Case -- 4. Gaussian Approximations to the Algorithms -- 5. Appendix to Part II: A Simple Theorem in the ?Robbins-Monro? Case -- Subject Index to Part I -- Subject Index to Part II. 330 $aAdaptive systems are widely encountered in many applications ranging through adaptive filtering and more generally adaptive signal processing, systems identification and adaptive control, to pattern recognition and machine intelligence: adaptation is now recognised as keystone of "intelligence" within computerised systems. These diverse areas echo the classes of models which conveniently describe each corresponding system. Thus although there can hardly be a "general theory of adaptive systems" encompassing both the modelling task and the design of the adaptation procedure, nevertheless, these diverse issues have a major common component: namely the use of adaptive algorithms, also known as stochastic approximations in the mathematical statistics literature, that is to say the adaptation procedure (once all modelling problems have been resolved). The juxtaposition of these two expressions in the title reflects the ambition of the authors to produce a reference work, both for engineers who use these adaptive algorithms and for probabilists or statisticians who would like to study stochastic approximations in terms of problems arising from real applications. Hence the book is organised in two parts, the first one user-oriented, and the second providing the mathematical foundations to support the practice described in the first part. The book covers the topcis of convergence, convergence rate, permanent adaptation and tracking, change detection, and is illustrated by various realistic applications originating from these areas of applications. 410 0$aStochastic Modelling and Applied Probability,$x0172-4568 ;$v22 606 $aProbabilities 606 $aChemometrics 606 $aComputational intelligence 606 $aProbability Theory and Stochastic Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/M27004 606 $aMath. 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